Please use this identifier to cite or link to this item:
http://20.198.91.3:8080/jspui/handle/123456789/9084Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Sarkar, Anasua | - |
| dc.contributor.author | Ghosh, Arkapriya | - |
| dc.date.accessioned | 2025-10-30T10:44:49Z | - |
| dc.date.available | 2025-10-30T10:44:49Z | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023 | - |
| dc.identifier.other | DC3736 | - |
| dc.identifier.uri | http://20.198.91.3:8080/jspui/handle/123456789/9084 | - |
| dc.format.extent | 56 p. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Jadavpur University, Kolkata, West Bengal | en_US |
| dc.subject | Deep spatiotemporal | en_US |
| dc.title | Graphsage-lstm model for spatiotemporal forecasting based on covid-19 data | en_US |
| dc.type | Text | en_US |
| dc.department | Jadavpur University. Department of Computer Science and Engineering | en_US |
| Appears in Collections: | Dissertations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| MCA( Dept of Computer Science and Engineering ) Arkapriya Ghosh.pdf | 1.72 MB | Adobe PDF | View/Open |
Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.